Time-dependent Flow Visualization

Time-Dependent Flow Visualization is a computational method within flow visualization that specifically renders the evolution of fluid particle trajectories over time in unsteady flow fields, distinguishing it from static or time-averaged visualization techniques by explicitly encoding temporal dynamics in the visual representation.

86

Publications

4.7K

Citations

210

Authors

87

Institutions

Publications per year

2017–2026

7

Authors

210

  1. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    9 publications · 354 citations

    9

    h-index

  2. DA
    David A. Lane

    Ames Research Center, United States

    8 publications · 325 citations

    8

    h-index

  3. TE
    Thomas Ertl

    University of Stuttgart, Germany

    6 publications · 198 citations

    6

    h-index

  4. HH
    Helwig Hauser

    University of Bergen, Norway

    6 publications · 677 citations

    6

    h-index

  5. BJ
    Bruno Jobard

    Université de Pau et des Pays de l'Adour, France

    5 publications · 330 citations

    5

    h-index

1–5 of 210

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 13 publications · 731 citations

    13

    h-index

  2. Computer Graphics Forum

    7 publications · 844 citations

    7

    h-index

  3. Journal of Visualization

    4 publications · 691 citations

    4

    h-index

  4. IEEE Computer Graphics and Applications

    3 publications · 66 citations

    3

    h-index

  5. IEEE Visualization

    Conference · 3 publications · 159 citations

    3

    h-index

1–5